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DBMS > AnzoGraph DB vs. GigaSpaces vs. JanusGraph vs. Lovefield vs. Yaacomo

System Properties Comparison AnzoGraph DB vs. GigaSpaces vs. JanusGraph vs. Lovefield vs. Yaacomo

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonLovefield  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Embeddable relational database for web apps written in pure JavaScriptOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelGraph DBMS
RDF store
Document store
Object oriented DBMS infoValues are user defined objects
Graph DBMSRelational DBMSRelational DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Websitecambridgesemantics.com/­anzographwww.gigaspaces.comjanusgraph.orggoogle.github.io/­lovefieldyaacomo.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.gigaspaces.com/­latest/­landing.htmldocs.janusgraph.orggithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperCambridge SemanticsGigaspaces TechnologiesLinux Foundation; originally developed as Titan by AureliusGoogleQ2WEB GmbH
Initial release20182000201720142009
Current release2.3, January 202115.5, September 20200.6.3, February 20232.1.12, February 2017
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetJavaJavaScript
Server operating systemsLinuxLinux
macOS
Solaris
Windows
Linux
OS X
Unix
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAndroid
Linux
Windows
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono infoXML can be used for describing objects metadatanonono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL-99 for query and DML statementsnoSQL-like query language infovia JavaScript builder patternyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
ODBC
Supported programming languagesC++
Java
Python
.Net
C++
Java
Python
Scala
Clojure
Java
Python
JavaScript
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesyesno
Triggersnoyes, event driven architectureyesUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)nonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyes infoMap-Reduce pattern can be built with XAP task executorsyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnoyes infoRelationships in graphsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infousing MemoryDByes
User concepts infoAccess controlAccess rights for users and rolesRole-based access controlUser authentification and security via Rexster Graph Servernofine grained access rights according to SQL-standard

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More resources
AnzoGraph DBGigaSpacesJanusGraph infosuccessor of TitanLovefieldYaacomo
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